Radical Workload Reduction tackles one of education’s most persistent problems: overload. Rather than adding another initiative, this course helps educators systematically remove friction from their daily work using AI in targeted, low-risk ways.

Participants learn how to identify repetitive administrative tasks, communication drafts, planning structures, reporting templates, meeting summaries, and documentation workflows that can be responsibly supported by AI tools. The emphasis is not on flashy automation but on thoughtful redesign.

The course introduces a simple test-and-review method: identify, trial, refine, and formalise. Staff build small, sustainable AI-supported workflows that reduce cognitive strain while maintaining professional judgement.

Importantly, the course reinforces ethical boundaries. Sensitive data handling, verification habits, and documentation standards are embedded throughout. The goal is not dependency but leverage.

By the end of the course, participants will have implemented at least one measurable workload reduction practice in their own role. The outcome is practical relief, improved efficiency, and a clearer sense of control in an increasingly complex digital environment.